Job vacancy statistics (jvs)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: National Statistics Office


Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

National Statistics Office

1.2. Contact organisation unit

Labour Market and Information Society Statistics 

1.5. Contact mail address

National Statistics Office
Lascaris
Valletta
VLT 2000
Malta


2. Statistical presentation Top
2.1. Data description

Job vacancy statistics (JVS) provide information on the level and structure of labour demand. The country transmits quarterly data on the number of job vacancies and the number of occupied posts and provides the quality report in line with the JVS framework regulation and the two implementing regulations: the implementing regulation on the definition of a job vacancy, the reference dates for data collection, data transmission specifications and feasibility studies, as well as the implementing regulation on seasonal adjustment procedures and quality reports.

The national Job Vacancy Survey is carried out using a sample survey amongst private enterprises, whilst administrative data is used with regards to public entities. Since 2017 the target population has been extended to include units employing 1 or more (full-time and part-time) employees and operating under NACE Rev. 2 Sections B-S. 

Data is collected on a quarterly basis where enterprises are asked to provide the number of employees and the number of active vacancies as at the 15th day of the end of quarter month. To date, results of this survey are not published at a national level; however main results derived from this data collection are published by Eurostat and may also be provided by NSO upon request.  For 2022, JVS transmissions covered units employing 1 or more persons.

2.2. Classification system

A number of classifications are applied for this survey. These include NACE Rev 2ISCO 08 (the International Standard Classification of Occupations) and NUTS (the Nomenclature of Territorial Units for Statistics).

2.3. Coverage - sector

The data covers all the economic activities defined by NACE Rev. 2, except agriculture, forestry and fishing activities (optional in the JVS framework regulation), and the activities of households as employers and the activities of extraterritorial organisations and bodies.

2.4. Statistical concepts and definitions

A 'job vacancy' is defined as a paid post that is newly created, unoccupied, or about to become vacant:

(a) for which the employer is taking active steps and is prepared to take further steps to find a suitable candidate from outside the enterprise concerned; and

(b) which the employer intends to fill either immediately or within a specific period of time.

 

‘Active steps to find a suitable candidate’ include:

- notifying the job vacancy to the public employment services,

- contacting a private employment agency/head hunters,

- advertising the vacancy in the media (for example internet, newspapers, magazines),

- advertising the vacancy on a public notice board,

- approaching, interviewing or selecting possible candidates/potential recruits directly,

- approaching employees and/or personal contacts,

- using internships.

 

'Specific period of time’ refers to the maximum time the vacancy is open and intended to be filled. That period shall be unlimited; all vacancies for which active steps are continuing on the reference date shall be reported.

 

An 'occupied post’ means a paid post within the organisation to which an employee has been assigned.

2.5. Statistical unit

The basic statistical unit for the data collection is the enterprise.

2.6. Statistical population

The statistical population used in the compilation of the job vacanacies statistics for the year 2022 includes enterprises which employ 1 or more employees. The target population includes all active units according to the national Business Register.  

2.7. Reference area

The whole territory of the country.

2.8. Coverage - Time

Quarterly data available from Q1 2010 for enterprises employing 10 or more employees, whilst quarterly data for enterprises employing 1 or more employees is available from Q1 2017.

2.9. Base period

Not applicable


3. Statistical processing Top
3.1. Source data
Identification of the source of the data

The national Job Vacancy Survey is carried out using a sample survey of private enterprises, whilst administrative data is used with regards to public entities.

Coverage

- Geographical

National Coverage 

- NACE

The survey is carried out amongst enterprises covering all Nace Rev. 2 categories except categories A, T and U 

- Enterprise size

The survey is carried out with enterprises that employ 1 or more employees. 

Definition of the statistical unit

A legal unit employing 1 or more employees

Remarks

 

Sampling design

Base used for the sample

The target population includes all active units according to the national Business Register.

Sampling design

Stratified Random (using Optimum Allocation of strata)

Retention/renewal of sampling units

Replacement of non-respondent units is not necessary as these are followed during the subsequent quarters. Ineligible units are dropped from the sample but are still not replaced. 

Sample size

2435 units

Stratification

Stratification is based on NACE Rev. 2 sections and size of the enterprise according to the number of employees.

Other sources

Maintenance agency

NSO maintains a companies register from where the sampled entities are selected. The national employment agency provides us with the vacancies for public entities, whereas information on public service units is collected via a survey.

Updating frequency

The companies register is updated on an annual basis whereas public sector employment held by the national employment agency is updated on a monthly basis.

Rules for clearance (of outdated information)

Enterprises are eliminated from NSO’s sampling frames following deletions from other administrative bodies whose role is to register these companies in Malta (e.g. VAT Dept, Tax Dept.)

Voluntary/compulsory reporting and sanctions

The survey is carried out by way of the Malta Statistics Authority Act (2000)

Remarks

 

3.2. Frequency of data collection
Reference dates
Reference date for 2022 was the 15th day of the end of quarter month (i.e., March, June, September and December)
3.3. Data collection
Brief description of the data collection method(s) Remarks
All sampled companies are contacted either by post or through electronic mail. Reminders are sent to non-responding units via email. In addition, telephone chasing is carried out with the non-responding units with an emphasis on strata which have a low response rate. Acknowledgements are emailed to all responding enterprises.   
3.4. Data validation

Incoming data is checked for consistency with data from previous quarters. In addition, whenever data is not in line with previous feedback, the National Statistics Office directly contacts the respondents via email or telephone in order to outline what has led to the identified discrepancies.

3.5. Data compilation
Brief description of the weighting method Weighting dimensions

Weights are based on the sum of accepted entities, divided by the eligible units in the target population. This procedure is only applied to private entities since administrative data is used for all public sector organisations. This implies that the weight for public sector organisations is always equal to 1. For private companies, a calibration procedure also takes place to ensure that weights are in line with the NACE and employee count benchmarks.

The size class divisions which are used for weighting purposes are as follows; 1-9, 10-19, 20-49, 50-249, 250+. 

For parts of the sample, information is compiled at local unit level and is then aggregated at company level. This is especially the case with units operating in the education sector. This aggregation is carried out prior to the calculation of weights.

The weight dimensions are NACE major groups and size-class (1-9, 10-19, 20-49, 50-249, 250+)

3.6. Adjustment

Calibration techniques are used to align sample characteristics with those pertaining to the target population.


4. Quality management Top
4.1. Quality assurance

Checks for consistency in the figures provided for occupied posts are carried out on a quarterly basis and imputations are made in cases where large discrepencies are found.

4.2. Quality management - assessment

Optional


5. Relevance Top
5.1. Relevance - User Needs
Description of the national users and their main needs Remarks
Main users of this data include: 

(1) International organisations (such as Eurostat, UNESCO, OECD, EU's Directorate General for Employment),

(2) Public entities (such as Ministries and Government Authorities)

(3) Private entities (including research organisations, unions and businesses), and

(4) Individuals. 

Although this data is generally required for policy making purposes and to forecast job vacancy trends, it is also used for research purposes, such as market research.

 
5.2. Relevance - User Satisfaction
Extent to which the needs of national users are satisfied (voluntary) Remarks
The NSO carried out a user satisfaction survey covering all domains. 

Main results from this survey can be accessed through this link: https://nso.gov.mt/user-satisfaction-survey/

 
5.3. Completeness
Description of missing variables and missing breakdowns of the variables Report progress on the implementation measures regarding quarterly job vacancies statistics of Regulation (EC) No 453/2008, including :

- a detailed plan and timetable for completing implementation

- a summary of the remaining deviations from EU concepts

   No deviations to the EU concepts
5.3.1. Data completeness - rate

Transmitted information relates to units employing 1 or more persons.


6. Accuracy and reliability Top
6.1. Accuracy - overall
Sampling Errors B-S  
Q1

1.9%

Q2

1.9%

Q3

1.5%
Q4

2.0%

The sampling error shown above is calculated on the total number of vacancies as per reference date based on the employment size of the enterprise within the private sector. Public sector entities were omitted from the calculation since information relating to both employment and vacancies is obtained through administrative sources. 

6.2. Sampling error

The standard error is usually expressed as a margin of error which quantifies uncertainty about a survey result and expresses the amount of random sampling error in a survey's results. This is normally associated with a statistical level of confidence in such a way as to make it possible for us to calculate confidence intervals of the form estimate ± margin of error. Then, the margin of error may be calculated as 1.96 times the standard error on either side of the estimate. A 95% confidence level is considered.

The sampling design used for this survey (stratified random sample) is taken into account for the computation of sampling errors. Estimates with a percentage margin of error greater than 40% are normally omitted from the respective tables as these represent highly volatile and unreliable survey estimates. Other estimates with a relatively high but acceptable margin of error are flagged accordingly.

6.2.1. Sampling error - indicators
Coefficient of variation (taking into account the sampling design) or estimated sampling error for the number of job vacancies (see guidelines).

Refer to table in Annex Sampling Errors_2022



Annexes:
MT Sampling Errors 2022
6.3. Non-sampling error
Information on variables with non-negligible measurement and processing errors Information on main sources of (non-negligible) measurement and processing errors and, if available, on methods applied for correction Estimation bias: An assessment of the non-sampling errors, in terms of the absolute number of vacant posts, for the total number of job vacancies and, where possible, for aggregation level of NACE Rev. 2 specified in Annex 1 to this Regulation and size classes (1-9, 10 + employees). Remarks
No specific bias related to a particular variable has been identified Not applicable Not applicable  
6.3.1. Coverage error
Description of any difference between the reference population and the study population Description of classification errors Description of any difference between the reference dates and the reference quarter Any other relevant information
No difference Coverage errors in the JVS relate to:

1) Units which were deemed to be in operation during the reference period, but which were actually found to have ceased operation when contacted to carry out the Job Vacancy Survey

2) Misclassification of economic activity of sampled units

The reference date used for JVS is the 15th of the end of quarter month (i.e., March, June, September and December)  
6.3.1.1. Over-coverage - rate

The national JVS is conducted amongst units employing 1 or more persons. The over-coverage rate is therefore being assumed to be the proportion of units which are made up of self-employed or do not have any employees on their payroll. The quarterly over-coverage rate for 2022 is provided below:

Quarter 1: 4.1%

Quarter 2: 2.8% 

Quarter 3: 4.1%

Quarter 4: 4.0%

Annual average: 3.8%

6.3.1.2. Common units - proportion

0.7% of units in the sample were also covered by administrative sources in 2022.

6.3.2. Measurement error

Measurement errors which might be attributed to the JVS relate to the fact that a number of respondents might be providing the total number of vacancies rather than the number of active vacancies during the reference period. From 2017, this office changed the data collection tool and added a further breakdown in questions related to vacancies.  Respondents are now being asked to identify whether the call for application for the indicated vacancy was still open on the reference date together with the level of education required from the candidate.

6.3.3. Non response error

Refer to sections 6.3.3.1 and 6.3.3.2

6.3.3.1. Unit non-response - rate
Unit response rate
The overall response rate per quarter was as follows:

Q1 - 78.8%

Q2 - 75.5%

Q3 - 74.6%

Q4 - 74.8%

The response rate takes only into account units which were included in the survey since the response rate of units from administrative records is equal to 100%.

6.3.3.2. Item non-response - rate

Optional

6.3.4. Processing error

Refer to the subsections below

6.3.4.1. Imputation - rate
Item imputation rate and methods and, where possible, the effect of imputation on the estimates for the variables transmitted
Employment level imputation by quarter:

Q1 - 4.5%

Q2 - 6.9%

Q3 - 7.0%

Q4 - 5.4%

Average - 6.0%

 

Sum of vacancies imputation by quarter:

Q1 - 7.3%

Q2 - 5.9%

Q3 - 6.8%

Q4 - 3.5%

Average - 5.9% 

6.3.5. Model assumption error
If modelling is used, include a description of the models used. Particular emphasis should be given to models for imputation or grossing-up to correct for unit non-response.
Not applicable.
6.4. Seasonal adjustment
Brief description of seasonal adjustment procedures, in particular with regard to the European Statistical System guidelines on seasonal adjustment which have been endorsed and supported by the SPC.

In 2022, JVS Data for enterprises employing 1 or more employees was seasonally adjusted.  The whole series is run through JDemetra+ in order to outline the areas were seasonality is present for both occupied posts and vacancies. 



Annexes:
Template for quality reporting on SA for JVS
6.5. Data revision - policy

JVS data is revised on a regular basis in order to be in line with updates provided in the target population. These updates are usually provided by JVS respondents or otherwise by the unit which is in charge of the Business Register. NSO has an internal data revision policy which we adhere to.

Refer to section 6.6.1.

6.6. Data revision - practice
Provide a revision history, including the revisions in the published number of job vacancies and a summary of the reasons for the revisions.
Refer to attached excel sheet Revision History 2022.


Annexes:
MT Revision History 2022
6.6.1. Data revision - average size

Revisions are carried out on a regular basis at micro-level. Data pertaining to 2022 was revised during the course of the same year, due to updates in the target population as provided by the Business Register unit. Below is the percentage change in the figure of occupied posts for B to S for each quarter as per last transmission (Q1 2023 transmission). Changes are worked out with respect to the first time the reference period was transmitted:

Quarter 1 - -1.2%

Quarter 2 - 0.9%

Quarter 3 - 0.3%

Quarter 4 - 0.5%


7. Timeliness and punctuality Top
7.1. Timeliness

Data collection starts during the first week following the reference date. Results are finalised by t+70 days.

7.1.1. Time lag - first result
Information on the time span between the release of data at national level and the reference period of the data.
The information pertaining to JVS is transmitted to Eurostat on a quarterly basis (t+70 days).
7.1.2. Time lag - final result

JVS results are flagged as provisional pending any changes to the target population. 

7.2. Punctuality

Quarterly JVS data was transmitted on the following dates:

Quarter 1: 03/06/2022

Quarter 2: 06/09/2022

Quarter 3: 02/12/2022

Quarter 4: 01/03/2023

All transmissions took place within the deadline.

7.2.1. Punctuality - delivery and publication
Deadlines for the respondents to reply, also covering recalls and follow-ups Period of the fieldwork Period of data processing Dates of publication of first results Remarks
Respondents are usually given 15 days to answer the survey.  A reminder is sent soon after the elapse of the deadline and telephone chasing (targeting the activities with the lowest responses) is carried out concurrently. The whole data collection process takes approximately 1.5 months. The data collection of the second quarter entails a longer period of time since it coincides with the summer break of many companies. Fieldwork is carried out just after the reference date e.g. Q1 (Jan-Mar) is carried out on the first working date following the 15th March.  Data customisation and processing takes approximately 1 month. Information provided by administrative sources needs to be customised in line with the information given by private parties, so that all data is processed in one dataset.  No results have been published at a national level.   


8. Coherence and comparability Top
8.1. Comparability - geographical
Information on differences between national and European concepts, and — to the extent possible — their effects on the estimation.
No difference in concepts.
8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable

8.2. Comparability - over time
Information on changes in definitions, coverage and methods in any two consecutive quarters, and their effects on the estimation. Remarks

The coverage of the JVS is comparable over the period 2017 onwards. Revisions to the number of occupied posts were carried out during 2022 in order to reflect updates to the target population.

 
8.2.1. Length of comparable time series

During 2022, the Labour Market and Information Society Statistics unit received an updated version of the target population and this necessitated the revision of figures pertaining to occupied posts for the period 2017 to 2022. Morever, in order to conform with the current JVS regulation, as from Q1 2017 sampled enterprises were asked to provide data for both employment and vacancies as at a specific reference date (the 15th day of the end of quarter month). Prior to 2018 the reference date was the 30th day of the quarter month. 

As a result comparability of data for units employing 10+ can be considered from 2013 onwards. On the other hand comparibilty for units employing 1 or more employees can be considered as from 2017.  

8.3. Coherence - cross domain
Comparisons of data on the number of vacant jobs from other relevant sources when available, in total and broken down by NACE at section level when relevant, and reasons if the values differ considerably.
Overall, employment data is in line with that compiled from the Business Register. On the other hand, when it comes to data on job vacancies coherence across domains is not possible since information on vacated posts is not available from other sources because there are no other comprehensive sources in terms of coverage and definitions.

Looking at the Beveridge curve, one notes that the unemployment rate showed a declining trend throughout 2022. It started the year at 3.2% (2022Q1), and there was a consistent decrease, reaching 2.9% by the end of the year (2022Q4). This decline suggests a positive shift in the labour market, with fewer individuals unemployed over the course of the year. Meanwhile, the job vacancy rate demonstrated a slight positive fluctuation. It began the year at 2.5% (2022Q1), and after a small increase, it reached 2.6% by the end of the year (2022Q4). While the change is not substantial, it indicates a relatively stable number of job vacancies throughout the year.

When comparing LFS with JVS data on occupied posts, the overall difference between both estimates is 1%. General differences across all economic activities can mainly be attributed to the change in EU LFS methodology. 

 

 



Annexes:
MT Beveridge Curve 2022
MT Comparison of JVS with LFS data 2022
8.4. Coherence - sub annual and annual statistics

There is coherence between annual and quarterly results since annual figures are the average of the four quarters which are transmitted by this office.

8.5. Coherence - National Accounts

As indiciated in the table below, discrepencies in employment levels between JVS and Natonal Accounts are a result of different estimation methods.  National accounts tend to use a mix of sources to derive employment whereas in JVS employment levels are mainly derived from respondent answers as well as PES register data for public sector.  As stated in section 8.3, there is no comparable information on vacated posts, hence coherence for this variable is not possible.

 

  JVS National Accounts
B-E 23760 23732
F 12326 13470
G-I 61685 62039
J 11321 11190
K 12584 13772
L 2432 2288
M-N 44681 42867
O-Q 63302 59720
R-S 13439 16282
Total 245530 245359
8.6. Coherence - internal

Data is checked in order to ensure that there is coherence between one quarter and another and consistency in the time series.


9. Accessibility and clarity Top
9.1. Dissemination format - News release

No news release was published at a national level.

9.2. Dissemination format - Publications
Dissemination scheme, including to whom the results are sent Periodicity of national publication References for publications of core results, including those with commentary in the form of text, graphs, maps, etc. Information on what results, if any, are sent to reporting units included in the sample
Not available. Not available. Not available. Not available.
9.3. Dissemination format - online database

There is no online database with JVS results.

9.3.1. Data tables - consultations

There is no national online database with JVS Results.

9.4. Dissemination format - microdata access

No access to micro data is available.

9.5. Dissemination format - other

No other format of disseminaton is available.

9.6. Documentation on methodology

Documentation of steps for the provision of JVS results is available for internal purposes.

9.7. Quality management - documentation
Description of and references for metadata provided References for core methodological documents relating to the statistics provided Description of main actions carried out by the national statistical services to inform users about the data Remarks
Procedures are documented internally and are not available for the general public Not available Not available  
9.7.1. Metadata completeness - rate

Not applicable

9.7.2. Metadata - consultations

Not applicable


10. Cost and Burden Top

Even though the national Job Vacancy Survey is a very simple and straight forward survey, it is still contributing towards increasing the response burden on enterprises.

In order to reduce the burden and costs associated with this survey, the NSO carries out the data collection using mixed mode data collection, whereby a high share of data is collected by electronic mail. In addition, a number of non-responding units are contacted by telephone, in order to ensure a satisfactory response upon which reliable statistics can be compiled.  For units which can be retrieved from administrative sources, JVS data is derived directly from admin data.


11. Confidentiality Top
11.1. Confidentiality - policy

Optional

11.2. Confidentiality - data treatment
Disclosure rules: Brief description of when data have to be deleted for reasons of confidentiality
Micro-data for this survey is not made available. In addition, statistics based on less than 3 readings are not published.


12. Comment Top
Special remarks
None.


Related metadata Top


Annexes Top